126 to 150 of 226 scikit-learn Jobs in the UK

/ML algorithms, statistical modeling, and scalable data processing pipelines Proficiency with Python-based machine learning libraries such as TensorFlow, PyTorch, and scikit-learn Familiarity with orchestration frameworks (for example, LangGraph) and agent design patterns Strong written and verbal communication skills with the ability to explain technical concepts ...

design, integration, data, CI/CD, observability, security, and cloud‐native practices. Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar. Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment. Solid understanding ...

would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? AI is becoming one of the core capabilities of Friend ...

issues and opportunities and tackle them without being told to do so. You speak Python fluently and have extensive, hands-on experience with scikit-learn . You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. ...

identify issues and opportunities and tackle them without being told to do so.You speak Python fluently and have extensive, hands-on experience with scikit-learn . You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.You’re comfortable ...

years’ relevant experience in data science or quantitative research Skills and experience we’re looking for: Data analysis in Python (NumPy, SciPy, pandas, scikit-learn or similar) Heavy, day-to-day use of AI tools in your technical work, such as coding assistants and LLMs, with the judgement ...

modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust interfaces around them Experience with DevOps ...

Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation Solid experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Experience coordinating projects across diverse teams. Proven attention to detail, critical ...

principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel proficiency Desirable ...

cloud environments Ability to quickly understand business objectives, solve complex problems and communicate insights clearly to senior stakeholders Excellent Python skills using Scikit‐learn and PyTorch, experience working in VS Code with AI‐assisted coding tools, and knowledge of MLOps for production deployment Familiarity with generative ...

etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) < Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...

demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit‐learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams ...

optimization tools, such as TensorRT. Strong programming skills in Python and experience with relevant numerical and machine learning libraries such as NumPy, scikit‐learn, and OpenCV. Ability to analyze performance bottlenecks and optimize systems across model, software, and hardware layers. Preferred Qualifications Experience with AWS cloud services ...

BNPL. Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity ...

data services such as S3, Glue, Lambda, Redshift and Athena Solid data modelling experience Experience supporting ML workloads using PyTorch, TensorFlow or Scikit-learn (desirable) MLflow (desirable) Exposure to Kubernetes or Terraform (beneficial but not required) We are an equal opportunities employer and welcome applications from all suitably ...

online) Solid understanding of statistical methods, including GLMs and modern ML techniques Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn) Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud ...

Hands-on experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima ...

history What You Bring 3+ years hands-on experience with machine learning and AI development Strong Python skills with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with computer vision or image recognition systems Practical knowledge of recommendation systems or matching algorithms Understanding of time series forecasting and predictive ...

rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code. Proven ...

classification, regression, clustering, ranking, NLP, or LLMs).Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. At Quantcast ...

regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.At Quantcast ...

BigQuery, Vertex AI) or equivalent cloud data platforms. Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas). Experience with PyTorch, scikit-learn, or similar ML frameworks. Background in maritime, defense, intelligence, or energy domains. #J-18808-Ljbffr ...

causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms, attribution ...

Bring 3+ years hands-on experience developing and deploying machine learning systems. Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn . Experience with computer vision , image recognition , or object detection . Practical background in recommendation systems, ranking models, or matching algorithms . Strong ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...